1 citations · 1 across the 10 of their papers we have counts for
10 papers
RAGent: Physics-Aware Agentic Reasoning for Training-Free mmWave Human Activity Recognition
Mingda Han, Huanqi Yang, Zehua Sun +6
Millimeter-wave (mmWave) radar enables privacy-preserving human activity recognition (HAR), yet real-world deployment remains hindered by costly annotation and poor transferability…
VoxAnchor: Grounding Speech Authenticity in Throat Vibration via mmWave Radar
Mingda Han, Huanqi Yang, Chaoqun Li +6
Rapid advances in speech synthesis and audio editing have made realistic forgeries increasingly accessible, yet existing detection methods remain vulnerable to tampering or depend…
PowerLens: Taming LLM Agents for Safe and Personalized Mobile Power Management
Xingyu Feng, Chang Sun, Yuzhu Wang +5
Battery life remains a critical challenge for mobile devices, yet existing power management mechanisms rely on static rules or coarse-grained heuristics that ignore user activities…
AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
Yihan Wang, Huanqi Yang, Shantanu Pal +1
The integration of Large Language Models (LLMs) into wearable sensing is creating a new class of mobile applications capable of nuanced human activity understanding. However, the r…
RF Sensing Security and Malicious Exploitation: A Comprehensive Survey
Mingda Han, Huanqi Yang, Wenhao Li +4
Radio Frequency (RF) sensing technologies have experienced significant growth due to the widespread adoption of RF devices and the Internet of Things (IoT). These technologies enab…
LLMKey: LLM-Powered Wireless Key Generation Scheme for Next-Gen IoV Systems
Huanqi Yang, Weitao Xu
Wireless key generation holds significant promise for establishing cryptographic keys in Next-Gen Internet of Vehicles (IoV) systems. However, existing approaches often face ineffi…
iRadar: Synthesizing Millimeter-Waves from Wearable Inertial Inputs for Human Gesture Sensing
Huanqi Yang, Mingda Han, Xinyue Li +3
Millimeter-wave (mmWave) radar-based gesture recognition is gaining attention as a key technology to enable intuitive human-machine interaction. Nevertheless, the significant chall…
EmbedGenius: Towards Automated Software Development for Generic Embedded IoT Systems
Huanqi Yang, Mingzhe Li, Mingda Han +2
Embedded IoT system development is crucial for enabling seamless connectivity and functionality across a wide range of applications. However, such a complex process requires cross-…
TransCompressor: LLM-Powered Multimodal Data Compression for Smart Transportation
Huanqi Yang, Rucheng Wu, Weitao Xu
The incorporation of Large Language Models (LLMs) into smart transportation systems has paved the way for improving data management and operational efficiency. This study introduce…
Are You Being Tracked? Discover the Power of Zero-Shot Trajectory Tracing with LLMs!
Huanqi Yang, Sijie Ji, Rucheng Wu +1
There is a burgeoning discussion around the capabilities of Large Language Models (LLMs) in acting as fundamental components that can be seamlessly incorporated into Artificial Int…